Michele Voto is a Senior Data Scientist based in Turin with eight years of experience applying machine learning and statistical modeling across marketing intelligence and risk analytics. After a PhD in Applied Physics and early research on micromagnetic modeling, he moved into industry roles at Helixa and Cerved Group where he builds audience insights and data-driven products that bridge research rigor and business impact. He is comfortable "wearing many hats," combining deep mathematical training with practical deployment of predictive models in production. Michele’s background spans academic research, EU-funded collaborations, and commercial ML, giving him a rare fluency in translating complex simulations into actionable analytics. Colleagues value his ability to tackle both theoretical problems and pragmatic engineering constraints when delivering solutions.
8 years of coding experience
6 years of employment as a software developer
Laurea Magistrale, Matematica, Laurea Magistrale, Matematica at Université libre de Bruxelles
Doctor of Philosophy (Ph.D.), Applied Physics, Doctor of Philosophy (Ph.D.), Applied Physics at Universidad de Salamanca
Laurea triennale, matematica, 110 Lode, Laurea triennale, matematica, 110 Lode at Università degli Studi di Torino
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